SIRENs: Using Periodic Activation Functions to Improve Implicit Neural Representations

Implicitly defined, continuous, differentiable signal representations parameterized by neural networks have emerged as a powerful paradigm, offering many possible benefits over conventional representations. However, current network architectures for such